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  Visual exploration of global trade networks with time-dependent and weighted hierarchical edge bundles on GPU

Hofmann, J., Größler, M., Rubio-Sanchez, M., Pichler, P.-P., Lehmann, D. J. (2017): Visual exploration of global trade networks with time-dependent and weighted hierarchical edge bundles on GPU. - Computer Graphics Forum, 36, 3, 273-282.
https://doi.org/10.1111/cgf.13186

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_21744 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_21744_3
Genre: Journal Article

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 Creators:
Hofmann, J.1, Author
Größler, M.1, Author
Rubio-Sanchez, M.1, Author
Pichler, Peter-Paul2, Author              
Lehmann, D. J.1, Author
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: The UN Comtrade database is the world's largest repository of bilateral trade data. Their complexity poses a challenge to visualization systems, leading to issues such as scalability and visual clutter. Thus, we propose a radial layout‐based visual exploration system to enable the user to smoothly explore the change over time and to explore different commodity classes at once by using a novel edge bundling concept. We evaluated our system with the aid of a group of domain experts.

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 Dates: 2017
 Publication Status: Finally published
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.1111/cgf.13186
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 7669
Research topic keyword: Complex Networks
Model / method: Nonlinear Data Analysis
Regional keyword: Global
Organisational keyword: RD4 - Complexity Science
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Title: Computer Graphics Forum
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 36 (3) Sequence Number: - Start / End Page: 273 - 282 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1500803